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- Publications Computational Neurophysics
Selected publications
2012
- Kunkel S, Potjans TC, Eppler JM, Plesser HE, Morrison A and Diesmann M (2012) Meeting the memory challenges of brain-scale network simulation. Front. Neuroinform. 5:35. doi: 10.3389/fninf.2011.00035
- Kunkel1 S, Helias M, Potjans TC, Eppler JM, Plesser HE, Diesmann M and Morrison A (2012) Memory Consumption of Neuronal Network Simulators at the Brain Scale, NIC Symposium 2012 Klaus Binder, Gernot Münster, Manfred Kremer (Editors) Proceedings, 7-8 February 2012, Forschungszentrum Jülich NIC Series Vol. 45 ISBN 978-3-89336-758-0, February 2012, page 81
2011
- Kunkel S, Diesmann M, Morrison A (2011) Limits to the development of
feed-forward structures in large recurrent neuronal networks Front.Comput. Neurosci. 4:160.doi: 10.3389/fncom.2010.00160
- Nobuhiko W, Potjans T C, Diesmann M, Fukai T (2011)
Layer-dependent attentional processing by top-down signals in a visual cortical microcircuit model
Front. Comput. Neurosci. 5:31. doi:10.3389/fncom.2011.00031
- Hanuschkin A, Herrmann J M, Morrison A, Diesmann M (2011)
Compositionality of arm movements can be realized by propagating synchrony.
J Comput. Neurosci. 30 (3), 675-697. doi: 10.1007/s10827-010-0285-9
- Brüderle D, Vogginger B, Millner S, Müller E, Muller L, Davison A, Kremkow J, Muller E, Partzsch J, Mayr C, Destexhe A, Diesmann M, Potjans T C, Lansner A, Schemmel J, Meier K (2011)
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems.
Biological cybernetics 104 (4-5), 263-296. doi:10.1007/s00422-011-0435-9
- Potjans W, Diesmann M, Morrison A (2011)
An imperfect dopaminergic error signal can drive temporal-difference learning.
PLoS Computational Biology 7(5): e1001133. doi: 10.1371/journal.pcbi.1001133
- Denker M, Roux S, Diesmann M, Gruen S, Riehle A (2011)
The Local Field Potential Reflects Surplus Spike Synchrony.
Cerebral Cortex 21 (12): 2681-2695. doi: 10.1093/cercor/bhr040
- Hanuschkin A, Diesmann M, Morrison A (2011)
A reafferent and feed-forward model of song syntax generation in the Bengalese finch.
J Comput Neurosci. 31(3):509-32. doi: 10.1007/s10827-011-0318-z
- Linden H, Tetzlaff T, Potjans T C, Pettersen K H, Gruen S, Diesmann M, Einevoll G (2011) Modeling the Spatial Reach of the LFP. Neuron 72, 859-872 doi: 10.1016/j.neuron.2011.11.006
- Helias M, Deger M, Rotter S and Diesmann M (2011) Finite post synaptic potentials cause a fast neuronal response. Front. Neurosci. 5:19. doi: 10.3389/fnins.2011.00019
2010
- Schrader S, Diesmann M, Morrison A (2010). A compositionality machine realized by a hierarchic architecture of synfire chains. Front. Comput. Neurosci. 4:154
- Louis S, Gerstein GL, Grün S, Diesmann M (2010). Surrogate spike train generation through dithering in operational time. Front Comput Neurosci 4:127. doi: 10.3389/fncom.2010.00127
- Bruederle et al. (2010). A Comprehensive Workflow for General-Purpose Neural Modeling with Highly Configurable Neuromorphic Hardware Systems arXiv:1011.2861v1
- Potjans W, Morrison A and Diesmann M (2010). Enabling functional neural circuit simulations with distributed computing of neuromodulated plasticity. Front. Comput. Neurosci. 4:141
- Helias M, Deger M, Rotter S, Diesmann M (2010) Instantaneous Non-Linear Processing by Pulse-Coupled Threshold Units PLoS Comput Biol 6(9): e1000929
- Hanuschkin A, Kunkel S, Helias M, Morrison A and Diesmann M (2010) A general and efficient method for incorporating precise spike times in globally time-driven simulations Front. Neuroinform. 4:113. doi:10.3389/fninf.2010.00113
- Helias M, Deger M, Diesmann M, Rotter S (2010) Equilibrium and response properties of the integrate-and-fire neuron in discrete time Front Comput Neurosci 3, 29 doi:10.3389/neuro.10.029.2009
- Nordlie E, Plesser HE (2010) Visualizing neuronal network connectivity with connectivity pattern tables Front Neuroinform 3:39
- Djurfeldt M, Hjorth J, Eppler JM, Dudani N, Helias M, Potjans TC, Bhalla US, Diesmann M, Kotaleski JH, Ekeberg O (2010) Run-Time Interoperability Between Neuronal Network Simulators Based on the MUSIC Framework Neuroinformatics DOI 10.1007/s12021-010-9064-z
2009
- Nordlie E, Gewaltig M-O, Plesser HE (2009) Towards reproducible descriptions of neuronal network models PLoS Comput Biol 5(8):e1000456
- Eppler JM, Helias M, Muller E, Diesmann M, Gewaltig M-O (2009) Pynest: a convenient interface to the nest simulator Front Neuroinform 2, 12. doi:10.3389/neuro.11.012.2008
- Potjans W, Morrison A, Diesmann M (2009) A spiking neural network model of an actor-critic learning agent Neural Computation, 21: 353-359 among top downloads from NECO
- Plesser H E, Diesmann M (2009) Simplicity and efficiency of integrate-and-fire neuron models Neural Computation, 21: 353-359
2008
- Grün S, Abeles M, and Diesmann M. (2008) Impact of higher-order correlations on coincidence distributions of massively parallel data. Lecture Notes in Computer Science, 'Dynamic Brain - from Neural Spikes to Behaviors' , vol 5286, 96-114 DOI:10.1007/978-3-540-88853-6 preprint
- Helias M, Rotter S, Gewaltig M-O, Diesmann M (2008) Structural plasticity controlled by calcium based correlation detection Front Comput Neurosci 2, 7. doi:10.3389/neuro.10.007.2008
- Schrader S, Grün S, Diesmann M, Gerstein G (2008) Detecting synfire chain activity using massively parallel spike train recording J Neurophysiol100: 2165-2176
- Pazienti A, Maldonado P, Diesmann M, Grün S (2008) The effectiveness of systematic spike dithering depends on the precision of cortical synchronization. Brain Research, 1225: 39-46
- Morrison A, Diesmann M, Gerstner W (2008) Phenomenological Models of Synaptic Plasticity based on Spike-Timing Biological Cybernetics 98(6): 459-478
- Tetzlaff T, Rotter S, Stark E, Abeles M, Aertsen A, Diesmann M (2008) Dependence of neuronal correlations on filter characteristics and marginal spike-train statistics Neural Computation, 20: 2133-2184among top downloads from NECO
- Kriener B, Tetzlaff T, Aertsen A, Diesmann M, Rotter S (2008) Correlations and population dynamics in cortical networks Neural Computation, 20: 2185-2226
- Goedeke S, Diesmann M (2008) The mechanism of synchronization in feed-forward neuronal networksNew Journal of Physics 10:015007
2007
- Morrison A, Aertsen A, Diesmann M (2007) Spike-time dependent plasticity in balanced recurrent networks Neural Computation 19: 1437 1467 in 2008 among top downloads from NECO
- Morrison A, Straube S, Plesser H E, Diesmann M (2007) Exact subthreshold integration with continuous spike times in discrete time neural network simulations Neural Computation 19: 47-79
- Pazienti A, Diesmann M, and Grün S. (2007) Bounds of the ability to destroy precise coincidences by spike dithering. Lecture Notes in Computer Science 4729, pp. 428 437.
- Plesser H E, Eppler J M, Morrison A, Diesmann M, Gewaltig M-O (2007) Efficient Parallel Simulation of Large-Scale Neuronal Networks on Clusters of Multiprocessor Computers Euro-Par 2007, Proceedings of the 13th International Euro-Par Conference, LCNS vol. 4641 p. 672-681. Springer
- Brette R et al. incl. MD Simulation of networks of spiking neurons: A review of tools and strategies (2007) Journal of Computational Neuroscience 23(3): 349-398
- Gewaltig M-O, Diesmann M (2007) NESTScholarpedia2(4):1430
2006
- Backofen R et al. incl. MD A Bottom-up approach to Grid-Computing at a University: the Black-Forest-Grid Initiative (2006) PIK - Praxis der Informationsverarbeitung 29:81--87
- Guerrero-Rivera R, Morrison A, Diesmann M, Pearce, T C (2006) Programmable Logic Construction Kits for Hyper Real-time Neuronal Modeling Neural Computation 18:2651--2679
2005
- Morrison A, Mehring C, Geisel T, Aertsen A, Diesmann M (2005) Advancing the boundaries of high connectivity network simulation with distributed computing Neural Computation 17(8):1776--1801
2004
- Tetzlaff T, Morrison A, Geisel, T, and Diesmann M (2004) Consequences of Realistic Network Size on the Stability of Embedded Synfire Chains Neurocomputing 58--60:117--121
- Denker M, Timme M, Diesmann M, Wolf F, and Geisel T (2004) Breaking synchrony by heterogeneity in complex networks Phys Rev Lett 92(7):074103.
2003
- Grün S, Riehle A, and Diesmann M (2003) Effect of cross-trial non-stationarity on joint-spike events Biological Cybernetics 88(5):335--351
- Grün S, Riehle A, Aertsen A, and Diesmann M (2003) Temporal Scales of Cortical Interactions Nova Acta Leopoldina 332:189--206
- Pipa G, Diesmann M, and Grün S (2003) Significance of Joint-Spike Events Based on Trial-Shuffling by Efficient Combinatorial Methods Complexity 8(4):79--86
- Mehring C, Hehl U, Kubo M, Diesmann M, and Aertsen A (2003) Activity Dynamics and Propagation of Synchronous Spiking in Locally Connected Random Networks Biological Cybernetics 88(5):395--408
- Tetzlaff T, Buschermoehle M, Geisel T, and Diesmann M (2003) The spread of rate and correlation in stationary cortical networks Neurocomputing 52--54:949--954
2002
- Tetzlaff T, Geisel T, and Diesmann M (2002) The Ground State of Cortical Feed-Forward Networks Neurocomputing 44--46:673--678
- Egert U, Knott Th, Schwarz C, Nawrot M, Brandt A, Rotter S, and Diesmann M (2002) MEA-Tools: an open source toolbox for the analysis of multi-electrode data with MATLAB Journal of Neuroscience Methods 117:33--42
- Grün S, Diesmann M, and Aertsen A (2002) `Unitary Events' in Multiple Single Neuron Spiking Activity. II. Non-Stationary Data Neural Computation 14(1):81--119
- Grün S, Diesmann M, and Aertsen A (2002) Unitary Events' in Multiple Single Neuron Spiking Activity. I. Detection and Significance Neural Computation 14(1):43--80
2001
- Gewaltig M-O, Diesmann M, and Aertsen A (2001) Propagation of cortical synfire activity: survival probability in single trials and stability in the mean Neural Networks 14:657--673
- Gewaltig M-O, Diesmann M, and Aertsen A (2001) Cortical Synfire-Activity: Configuration Space and Survival Probability Neurocomputing 38--40:621--626
- Diesmann M, Gewaltig M-O, Rotter S, and Aertsen A (2001) State Space Analysis of Synchronous Spiking in Cortical Neural Networks Neurocomputing 38--40:565--571
2000
- Riehle A, Grammont F, Diesmann M, and Grün S (2000) Dynamical Changes and Temporal Precision of Synchronized Spiking Activity in Monkey Motor Cortex During Movement Preparation Journal of Physiology (Paris) 94:569--582
- Rotter, S and Diesmann M (1999) Exact Digital Simulation of Time-Invariant Linear Systems with Applications to Neuronal Modeling Biological Cybernetics 81:381-402
1999
- Grün S, Diesmann M, Grammont F, Riehle A, and Aertsen A Detecting unitary events without discretization of time (1999) Journal of Neuroscience Methods 94:67--79
- Diesmann M, Gewaltig M-O, and Aertsen A (1999) Conditions for Stable Propagation of Synchronous Spiking in Cortical Neural Networks Nature 402:529--533
1997
- Riehle A, Grün S, Diesmann M, Aertsen A (1997) Spike Synchronization and Rate Modulation Differentially Involved in Motor Cortical Function Science 278:1950--1953
1996
- Aertsen A, Diesmann M, and Gewaltig M-O (1996) Propagation of synchronous spiking activity in feedforward neural networks Journal of Physiology (Paris) 90:243--247
Chapters
Books
- Gewaltig M-O, Diesmann M, Morrison A, Plesser H E The Computer Science of Neural Systems Simulation Springer, Lecture notes in computer science (in preparation)
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